Cardiac disorders are critical and must be diagnosed in the early stage using routine
auscultation examination with high precision. Cardiac auscultation is a technique to analyze …

In this paper, we perform a systematic study about the on-body sensor positioning and data
acquisition details for Human Activity Recognition (HAR) systems. We build a testbed that …

Abstract k-nearest neighbors (k-NN) is a well-known classification algorithm that is widely
used in different domains. Despite its simplicity, effectiveness and robustness, k-NN is …

Recent advances in smart devices have sustained them as a better alternative for the design
of human-machine interaction (HMI), because they are equipped with accelerometer sensor …

Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario,
there is only one example from each individual on which to train the system, making it …

This paper conducts a comparative analysis of deep models in biometrics using scalogram
of electrocardiogram (ECG). A scalogram is the absolute value of the continuous wavelet …

Broadcasters produce enormous numbers of sport videos in cyberspace due to massive
viewership and commercial benefits. Manual processing of such content for selecting the …

Diabetic Retinopathy (DR) is an eye disease associated with chronic diabetes. DR is the
leading cause of blindness among working aged adults around the world and estimated it …

Road traffic accidents caused by fatigue driving are common causes of human casualties. In
this paper, we present a driver fatigue detection algorithm using two-stream network models …

Skewed class proportions in real-world datasets present a challenge for machine learning
algorithms, as they have a tendency to correctly categorize the majority class while …